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Inshorts - Lead Data Scientist
3 months ago
Role : Senior/Lead Data Scientist
Experience : 5-8 years
Location : Noida(Sec 16 - Film City)
Working Days: 5 Days a week
Company Profile:
Inshorts (previously NewsInShorts) is a content consumption and discovery app which provides news and other content in 60 words. It was started in 2013 with the aim of keeping people informed by presenting news in an easily consumable format. It is the highest-rated news app on Google Play Store.
Role : Senior/Lead Data Scientist
We are seeking a skilled NLP Engineer / AI expert to join our team as lead data scientist. The successful candidate will be responsible for leading , building and operationalizing a variety of recommendation algorithms and NLP models including summarization, question-answering, semantic search, named entity recognition, knowledge discovery, document understanding, and text classification.
Responsibilities
● Lead data-driven projects from definition to execution, from gathering data, defining metrics to communicating actionable insights;
● Propose innovative solutions by exploratory data analysis from complex and high-dimensional datasets, applying statistical and modeling techniques to evaluate performance, make valuable discoveries and solve non-routine analysis problems;
● Use a flexible, analytical approach to design predictive models and advanced algorithms that lead to optimal value extraction from the data;
● Analyze large sets of news data set from various sources, including websites, wikis, conversation platforms, social media platforms, and databases
● Build NLP/AI models to extract knowledge from these sources and create appropriate models which will indirectly or directly help our content publishers in their day to day operations.
● Develop response blending and summarisation models to provide an overview of search results from these sources
● Be involved in operationalizing these models in highly demanding production environments
● Conduct regular tests of the models to ensure they meet desired metrics on both benchmarkand usage datasets
Qualifications:
● Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
● Experience in deep learning frameworks (Tensorflow or PyTorch)
● Experience with NLP models, frameworks, and libraries (Hugging Face, Haystack, etc)
● Experience with fine-tuning LLMs as well as prompt engineering on GPT models (good tohave)
● Experience with Python
● Strong problem-solving and analytical skills
● Minimum 7 years of related job experience